{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import datetime\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_train_sample = pd.read_csv(\"./train.csv\",nrows=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#设置chunksize参数，来控制每次迭代数据的大小\n",
    "chunker = pd.read_csv(\"./train.csv\",chunksize=5)\n",
    "for item in chunker:\n",
    "    print(type(item))\n",
    "    #<class 'pandas.core.frame.DataFrame'>\n",
    "    print(len(item))\n",
    "    #5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_train=pd.read_csv('./train.csv')\n",
    "data_test_a=pd.read_csv('./testA.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(200000, 46)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_test_a.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(590191, 47)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['id', 'loanAmnt', 'term', 'interestRate', 'installment', 'grade',\n",
       "       'subGrade', 'employmentTitle', 'employmentLength', 'homeOwnership',\n",
       "       'annualIncome', 'verificationStatus', 'issueDate', 'isDefault',\n",
       "       'purpose', 'postCode', 'regionCode', 'dti', 'delinquency_2years',\n",
       "       'ficoRangeLow', 'ficoRangeHigh', 'openAcc', 'pubRec',\n",
       "       'pubRecBankruptcies', 'revolBal', 'revolUtil', 'totalAcc',\n",
       "       'initialListStatus', 'applicationType', 'earliesCreditLine', 'title',\n",
       "       'policyCode', 'n0', 'n1', 'n2', 'n3', 'n4', 'n5', 'n6', 'n7', 'n8',\n",
       "       'n9', 'n10', 'n11', 'n12', 'n13', 'n14'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_train.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 590191 entries, 0 to 590190\n",
      "Data columns (total 47 columns):\n",
      "id                    590191 non-null int64\n",
      "loanAmnt              590191 non-null float64\n",
      "term                  590191 non-null int64\n",
      "interestRate          590191 non-null float64\n",
      "installment           590191 non-null float64\n",
      "grade                 590191 non-null object\n",
      "subGrade              590191 non-null object\n",
      "employmentTitle       590190 non-null float64\n",
      "employmentLength      555618 non-null object\n",
      "homeOwnership         590191 non-null int64\n",
      "annualIncome          590191 non-null float64\n",
      "verificationStatus    590191 non-null int64\n",
      "issueDate             590191 non-null object\n",
      "isDefault             590190 non-null float64\n",
      "purpose               590190 non-null float64\n",
      "postCode              590189 non-null float64\n",
      "regionCode            590190 non-null float64\n",
      "dti                   590017 non-null float64\n",
      "delinquency_2years    590190 non-null float64\n",
      "ficoRangeLow          590190 non-null float64\n",
      "ficoRangeHigh         590190 non-null float64\n",
      "openAcc               590190 non-null float64\n",
      "pubRec                590190 non-null float64\n",
      "pubRecBankruptcies    589891 non-null float64\n",
      "revolBal              590190 non-null float64\n",
      "revolUtil             589798 non-null float64\n",
      "totalAcc              590190 non-null float64\n",
      "initialListStatus     590190 non-null float64\n",
      "applicationType       590190 non-null float64\n",
      "earliesCreditLine     590190 non-null object\n",
      "title                 590189 non-null float64\n",
      "policyCode            590190 non-null float64\n",
      "n0                    560388 non-null float64\n",
      "n1                    560388 non-null float64\n",
      "n2                    560388 non-null float64\n",
      "n3                    560388 non-null float64\n",
      "n4                    565625 non-null float64\n",
      "n5                    560388 non-null float64\n",
      "n6                    560388 non-null float64\n",
      "n7                    560388 non-null float64\n",
      "n8                    560388 non-null float64\n",
      "n9                    560388 non-null float64\n",
      "n10                   565625 non-null float64\n",
      "n11                   538656 non-null float64\n",
      "n12                   560388 non-null float64\n",
      "n13                   560388 non-null float64\n",
      "n14                   560388 non-null float64\n",
      "dtypes: float64(38), int64(4), object(5)\n",
      "memory usage: 211.6+ MB\n"
     ]
    }
   ],
   "source": [
    "data_train.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>loanAmnt</th>\n",
       "      <th>term</th>\n",
       "      <th>interestRate</th>\n",
       "      <th>installment</th>\n",
       "      <th>employmentTitle</th>\n",
       "      <th>homeOwnership</th>\n",
       "      <th>annualIncome</th>\n",
       "      <th>verificationStatus</th>\n",
       "      <th>isDefault</th>\n",
       "      <th>...</th>\n",
       "      <th>n5</th>\n",
       "      <th>n6</th>\n",
       "      <th>n7</th>\n",
       "      <th>n8</th>\n",
       "      <th>n9</th>\n",
       "      <th>n10</th>\n",
       "      <th>n11</th>\n",
       "      <th>n12</th>\n",
       "      <th>n13</th>\n",
       "      <th>n14</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>590191.000000</td>\n",
       "      <td>590191.000000</td>\n",
       "      <td>590191.000000</td>\n",
       "      <td>590191.000000</td>\n",
       "      <td>590191.000000</td>\n",
       "      <td>590190.000000</td>\n",
       "      <td>590191.000000</td>\n",
       "      <td>5.901910e+05</td>\n",
       "      <td>590191.000000</td>\n",
       "      <td>590190.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>560388.000000</td>\n",
       "      <td>560388.000000</td>\n",
       "      <td>560388.000000</td>\n",
       "      <td>560388.000000</td>\n",
       "      <td>560388.000000</td>\n",
       "      <td>565625.000000</td>\n",
       "      <td>538656.000000</td>\n",
       "      <td>560388.000000</td>\n",
       "      <td>560388.000000</td>\n",
       "      <td>560388.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>295095.000000</td>\n",
       "      <td>14417.417709</td>\n",
       "      <td>3.482708</td>\n",
       "      <td>13.232706</td>\n",
       "      <td>437.960969</td>\n",
       "      <td>72010.940050</td>\n",
       "      <td>0.613944</td>\n",
       "      <td>7.612058e+04</td>\n",
       "      <td>1.009228</td>\n",
       "      <td>0.199507</td>\n",
       "      <td>...</td>\n",
       "      <td>8.110093</td>\n",
       "      <td>8.582239</td>\n",
       "      <td>8.288934</td>\n",
       "      <td>14.631698</td>\n",
       "      <td>5.594220</td>\n",
       "      <td>11.652125</td>\n",
       "      <td>0.000822</td>\n",
       "      <td>0.003353</td>\n",
       "      <td>0.089181</td>\n",
       "      <td>2.179106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>170373.610699</td>\n",
       "      <td>8708.113423</td>\n",
       "      <td>0.855810</td>\n",
       "      <td>4.766178</td>\n",
       "      <td>261.233024</td>\n",
       "      <td>106549.457972</td>\n",
       "      <td>0.676161</td>\n",
       "      <td>6.933382e+04</td>\n",
       "      <td>0.782421</td>\n",
       "      <td>0.399630</td>\n",
       "      <td>...</td>\n",
       "      <td>4.796268</td>\n",
       "      <td>7.401815</td>\n",
       "      <td>4.564512</td>\n",
       "      <td>8.124527</td>\n",
       "      <td>3.213068</td>\n",
       "      <td>5.487755</td>\n",
       "      <td>0.030242</td>\n",
       "      <td>0.061749</td>\n",
       "      <td>0.511391</td>\n",
       "      <td>1.847482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>5.310000</td>\n",
       "      <td>15.690000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>147547.500000</td>\n",
       "      <td>8000.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>9.750000</td>\n",
       "      <td>248.505000</td>\n",
       "      <td>427.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.556500e+04</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>295095.000000</td>\n",
       "      <td>12000.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>12.740000</td>\n",
       "      <td>375.160000</td>\n",
       "      <td>7784.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.500000e+04</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>442642.500000</td>\n",
       "      <td>20000.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>15.990000</td>\n",
       "      <td>580.710000</td>\n",
       "      <td>117838.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>9.000000e+04</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>590190.000000</td>\n",
       "      <td>40000.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>30.990000</td>\n",
       "      <td>1715.420000</td>\n",
       "      <td>378351.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.099920e+07</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>132.000000</td>\n",
       "      <td>79.000000</td>\n",
       "      <td>128.000000</td>\n",
       "      <td>45.000000</td>\n",
       "      <td>82.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>28.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 42 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  id       loanAmnt           term   interestRate  \\\n",
       "count  590191.000000  590191.000000  590191.000000  590191.000000   \n",
       "mean   295095.000000   14417.417709       3.482708      13.232706   \n",
       "std    170373.610699    8708.113423       0.855810       4.766178   \n",
       "min         0.000000     500.000000       3.000000       5.310000   \n",
       "25%    147547.500000    8000.000000       3.000000       9.750000   \n",
       "50%    295095.000000   12000.000000       3.000000      12.740000   \n",
       "75%    442642.500000   20000.000000       3.000000      15.990000   \n",
       "max    590190.000000   40000.000000       5.000000      30.990000   \n",
       "\n",
       "         installment  employmentTitle  homeOwnership  annualIncome  \\\n",
       "count  590191.000000    590190.000000  590191.000000  5.901910e+05   \n",
       "mean      437.960969     72010.940050       0.613944  7.612058e+04   \n",
       "std       261.233024    106549.457972       0.676161  6.933382e+04   \n",
       "min        15.690000         0.000000       0.000000  0.000000e+00   \n",
       "25%       248.505000       427.000000       0.000000  4.556500e+04   \n",
       "50%       375.160000      7784.000000       1.000000  6.500000e+04   \n",
       "75%       580.710000    117838.500000       1.000000  9.000000e+04   \n",
       "max      1715.420000    378351.000000       5.000000  1.099920e+07   \n",
       "\n",
       "       verificationStatus      isDefault      ...                   n5  \\\n",
       "count       590191.000000  590190.000000      ...        560388.000000   \n",
       "mean             1.009228       0.199507      ...             8.110093   \n",
       "std              0.782421       0.399630      ...             4.796268   \n",
       "min              0.000000       0.000000      ...             0.000000   \n",
       "25%              0.000000       0.000000      ...             5.000000   \n",
       "50%              1.000000       0.000000      ...             7.000000   \n",
       "75%              2.000000       0.000000      ...            11.000000   \n",
       "max              2.000000       1.000000      ...            70.000000   \n",
       "\n",
       "                  n6             n7             n8             n9  \\\n",
       "count  560388.000000  560388.000000  560388.000000  560388.000000   \n",
       "mean        8.582239       8.288934      14.631698       5.594220   \n",
       "std         7.401815       4.564512       8.124527       3.213068   \n",
       "min         0.000000       0.000000       1.000000       0.000000   \n",
       "25%         4.000000       5.000000       9.000000       3.000000   \n",
       "50%         7.000000       7.000000      13.000000       5.000000   \n",
       "75%        11.000000      10.000000      19.000000       7.000000   \n",
       "max       132.000000      79.000000     128.000000      45.000000   \n",
       "\n",
       "                 n10            n11            n12            n13  \\\n",
       "count  565625.000000  538656.000000  560388.000000  560388.000000   \n",
       "mean       11.652125       0.000822       0.003353       0.089181   \n",
       "std         5.487755       0.030242       0.061749       0.511391   \n",
       "min         0.000000       0.000000       0.000000       0.000000   \n",
       "25%         8.000000       0.000000       0.000000       0.000000   \n",
       "50%        11.000000       0.000000       0.000000       0.000000   \n",
       "75%        14.000000       0.000000       0.000000       0.000000   \n",
       "max        82.000000       4.000000       4.000000      39.000000   \n",
       "\n",
       "                 n14  \n",
       "count  560388.000000  \n",
       "mean        2.179106  \n",
       "std         1.847482  \n",
       "min         0.000000  \n",
       "25%         1.000000  \n",
       "50%         2.000000  \n",
       "75%         3.000000  \n",
       "max        28.000000  \n",
       "\n",
       "[8 rows x 42 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_train.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
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       "      <td>35000.0</td>\n",
       "      <td>5</td>\n",
       "      <td>19.52</td>\n",
       "      <td>917.97</td>\n",
       "      <td>E</td>\n",
       "      <td>E2</td>\n",
       "      <td>320.0</td>\n",
       "      <td>2 years</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>9.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>18000.0</td>\n",
       "      <td>5</td>\n",
       "      <td>18.49</td>\n",
       "      <td>461.90</td>\n",
       "      <td>D</td>\n",
       "      <td>D2</td>\n",
       "      <td>219843.0</td>\n",
       "      <td>5 years</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>12000.0</td>\n",
       "      <td>5</td>\n",
       "      <td>16.99</td>\n",
       "      <td>298.17</td>\n",
       "      <td>D</td>\n",
       "      <td>D3</td>\n",
       "      <td>31698.0</td>\n",
       "      <td>8 years</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>590188</th>\n",
       "      <td>590188</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>3</td>\n",
       "      <td>12.29</td>\n",
       "      <td>166.77</td>\n",
       "      <td>C</td>\n",
       "      <td>C1</td>\n",
       "      <td>1697.0</td>\n",
       "      <td>10+ years</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>590189</th>\n",
       "      <td>590189</td>\n",
       "      <td>12000.0</td>\n",
       "      <td>3</td>\n",
       "      <td>15.80</td>\n",
       "      <td>420.71</td>\n",
       "      <td>C</td>\n",
       "      <td>C3</td>\n",
       "      <td>320101.0</td>\n",
       "      <td>2 years</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>590190</th>\n",
       "      <td>590190</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>3</td>\n",
       "      <td>9.99</td>\n",
       "      <td>354.89</td>\n",
       "      <td>B</td>\n",
       "      <td>B3</td>\n",
       "      <td>2364.0</td>\n",
       "      <td>3 years</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6 rows × 47 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            id  loanAmnt  term  interestRate  installment grade subGrade  \\\n",
       "0            0   35000.0     5         19.52       917.97     E       E2   \n",
       "1            1   18000.0     5         18.49       461.90     D       D2   \n",
       "2            2   12000.0     5         16.99       298.17     D       D3   \n",
       "590188  590188    5000.0     3         12.29       166.77     C       C1   \n",
       "590189  590189   12000.0     3         15.80       420.71     C       C3   \n",
       "590190  590190   11000.0     3          9.99       354.89     B       B3   \n",
       "\n",
       "        employmentTitle employmentLength  homeOwnership ...    n5    n6   n7  \\\n",
       "0                 320.0          2 years              2 ...   9.0   8.0  4.0   \n",
       "1              219843.0          5 years              0 ...   NaN   NaN  NaN   \n",
       "2               31698.0          8 years              0 ...   0.0  21.0  4.0   \n",
       "590188           1697.0        10+ years              1 ...   2.0   7.0  3.0   \n",
       "590189         320101.0          2 years              1 ...   3.0   1.0  5.0   \n",
       "590190           2364.0          3 years              0 ...   NaN   NaN  NaN   \n",
       "\n",
       "          n8   n9   n10  n11  n12  n13  n14  \n",
       "0       12.0  2.0   7.0  0.0  0.0  0.0  2.0  \n",
       "1        NaN  NaN  13.0  NaN  NaN  NaN  NaN  \n",
       "2        5.0  3.0  11.0  0.0  0.0  0.0  4.0  \n",
       "590188   5.0  2.0   5.0  0.0  0.0  0.0  1.0  \n",
       "590189   7.0  5.0   5.0  0.0  0.0  0.0  0.0  \n",
       "590190   NaN  NaN   NaN  NaN  NaN  NaN  NaN  \n",
       "\n",
       "[6 rows x 47 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_train.head(3).append(data_train.tail(3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 36 columns in train dataset with missing values.\n"
     ]
    }
   ],
   "source": [
    "print(f'There are {data_train.isnull().any().sum()} columns in train dataset with missing values.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "have_null_fea_dict = (data_train.isnull().sum()/len(data_train)).to_dict()\n",
    "fea_null_moreThanHalf = {}\n",
    "for key,value in have_null_fea_dict.items():\n",
    "    if value > 0.5:\n",
    "        fea_null_moreThanHalf[key] = value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{}"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fea_null_moreThanHalf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#nan可视化\n",
    "missing=data_train.isnull().sum()/len(data_train)\n",
    "missing=missing[missing>0]\n",
    "missing.sort_values(inplace=True)\n",
    "missing.plot.bar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "one_value_fea = [col for col in data_train.columns if data_train[col].nunique() <= 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['policyCode']"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "one_value_fea"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "one_value_fea_test = [col for col in data_test_a.columns if data_test_a[col].nunique() <= 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['policyCode']"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "one_value_fea_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 1 columns in train dataset with one unique value.\n",
      "There are 1 columns in test dataset with one unique value.\n"
     ]
    }
   ],
   "source": [
    "print(f'There are {len(one_value_fea)} columns in train dataset with one unique value.')\n",
    "print(f'There are {len(one_value_fea_test)} columns in test dataset with one unique value.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "numerical_fea = list(data_train.select_dtypes(exclude=['object']).columns)\n",
    "category_fea=list(data_train.select_dtypes(include=['object']).columns)\n",
    "# category_fea = list(filter(lambda x: x not in numerical_fea,list(data_train.columns)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['id',\n",
       " 'loanAmnt',\n",
       " 'term',\n",
       " 'interestRate',\n",
       " 'installment',\n",
       " 'grade',\n",
       " 'subGrade',\n",
       " 'employmentTitle',\n",
       " 'employmentLength',\n",
       " 'homeOwnership',\n",
       " 'annualIncome',\n",
       " 'verificationStatus',\n",
       " 'issueDate',\n",
       " 'isDefault',\n",
       " 'purpose',\n",
       " 'postCode',\n",
       " 'regionCode',\n",
       " 'dti',\n",
       " 'delinquency_2years',\n",
       " 'ficoRangeLow',\n",
       " 'ficoRangeHigh',\n",
       " 'openAcc',\n",
       " 'pubRec',\n",
       " 'pubRecBankruptcies',\n",
       " 'revolBal',\n",
       " 'revolUtil',\n",
       " 'totalAcc',\n",
       " 'initialListStatus',\n",
       " 'applicationType',\n",
       " 'earliesCreditLine',\n",
       " 'title',\n",
       " 'policyCode',\n",
       " 'n0',\n",
       " 'n1',\n",
       " 'n2',\n",
       " 'n3',\n",
       " 'n4',\n",
       " 'n5',\n",
       " 'n6',\n",
       " 'n7',\n",
       " 'n8',\n",
       " 'n9',\n",
       " 'n10',\n",
       " 'n11',\n",
       " 'n12',\n",
       " 'n13',\n",
       " 'n14']"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "numerical_fea"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['grade', 'subGrade', 'employmentLength', 'issueDate', 'earliesCreditLine']"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "category_fea"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0         E\n",
       "1         D\n",
       "2         D\n",
       "3         A\n",
       "4         C\n",
       "5         A\n",
       "6         A\n",
       "7         C\n",
       "8         C\n",
       "9         B\n",
       "10        B\n",
       "11        E\n",
       "12        D\n",
       "13        B\n",
       "14        A\n",
       "15        B\n",
       "16        D\n",
       "17        B\n",
       "18        E\n",
       "19        E\n",
       "20        C\n",
       "21        C\n",
       "22        D\n",
       "23        C\n",
       "24        A\n",
       "25        A\n",
       "26        B\n",
       "27        C\n",
       "28        A\n",
       "29        C\n",
       "         ..\n",
       "590161    C\n",
       "590162    D\n",
       "590163    D\n",
       "590164    B\n",
       "590165    G\n",
       "590166    C\n",
       "590167    D\n",
       "590168    C\n",
       "590169    C\n",
       "590170    C\n",
       "590171    C\n",
       "590172    C\n",
       "590173    B\n",
       "590174    C\n",
       "590175    B\n",
       "590176    C\n",
       "590177    D\n",
       "590178    B\n",
       "590179    D\n",
       "590180    E\n",
       "590181    B\n",
       "590182    C\n",
       "590183    B\n",
       "590184    D\n",
       "590185    C\n",
       "590186    B\n",
       "590187    B\n",
       "590188    C\n",
       "590189    C\n",
       "590190    B\n",
       "Name: grade, Length: 590191, dtype: object"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_train.grade"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#过滤数值型类别特征\n",
    "def get_numerical_serial_fea(data,feas):\n",
    "    numerical_serial_fea = []\n",
    "    numerical_noserial_fea = []\n",
    "    for fea in feas:\n",
    "        temp = data[fea].nunique()\n",
    "        if temp <= 10:\n",
    "            numerical_noserial_fea.append(fea)\n",
    "            continue\n",
    "        numerical_serial_fea.append(fea)\n",
    "    return numerical_serial_fea,numerical_noserial_fea\n",
    "numerical_serial_fea,numerical_noserial_fea = get_numerical_serial_fea(data_train,numerical_fea)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['id',\n",
       " 'loanAmnt',\n",
       " 'interestRate',\n",
       " 'installment',\n",
       " 'employmentTitle',\n",
       " 'annualIncome',\n",
       " 'purpose',\n",
       " 'postCode',\n",
       " 'regionCode',\n",
       " 'dti',\n",
       " 'delinquency_2years',\n",
       " 'ficoRangeLow',\n",
       " 'ficoRangeHigh',\n",
       " 'openAcc',\n",
       " 'pubRec',\n",
       " 'pubRecBankruptcies',\n",
       " 'revolBal',\n",
       " 'revolUtil',\n",
       " 'totalAcc',\n",
       " 'title',\n",
       " 'n0',\n",
       " 'n1',\n",
       " 'n2',\n",
       " 'n3',\n",
       " 'n4',\n",
       " 'n5',\n",
       " 'n6',\n",
       " 'n7',\n",
       " 'n8',\n",
       " 'n9',\n",
       " 'n10',\n",
       " 'n13',\n",
       " 'n14']"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "numerical_serial_fea"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['term',\n",
       " 'homeOwnership',\n",
       " 'verificationStatus',\n",
       " 'isDefault',\n",
       " 'initialListStatus',\n",
       " 'applicationType',\n",
       " 'policyCode',\n",
       " 'n11',\n",
       " 'n12']"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "numerical_noserial_fea"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3    447746\n",
       "5    142445\n",
       "Name: term, dtype: int64"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_train['term'].value_counts()#离散型变量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    292235\n",
       "1    233943\n",
       "2     63787\n",
       "3       138\n",
       "5        61\n",
       "4        27\n",
       "Name: homeOwnership, dtype: int64"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_train['homeOwnership'].value_counts()#离散型变量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    228837\n",
       "2    183400\n",
       "0    177954\n",
       "Name: verificationStatus, dtype: int64"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_train['verificationStatus'].value_counts()#离散型变量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0    344471\n",
       "1.0    245719\n",
       "Name: initialListStatus, dtype: int64"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_train['initialListStatus'].value_counts()#离散型变量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0    578792\n",
       "1.0     11398\n",
       "Name: applicationType, dtype: int64"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_train['applicationType'].value_counts()#离散型变量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.0    590190\n",
       "Name: policyCode, dtype: int64"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_train['policyCode'].value_counts()#离散型变量，无用，全部一个值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0    538234\n",
       "1.0       404\n",
       "2.0        16\n",
       "4.0         1\n",
       "3.0         1\n",
       "Name: n11, dtype: int64"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_train['n11'].value_counts()#离散型变量，相差悬殊，用不用再分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0    558623\n",
       "1.0      1667\n",
       "2.0        84\n",
       "3.0        12\n",
       "4.0         2\n",
       "Name: n12, dtype: int64"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_train['n12'].value_counts()#离散型变量，相差悬殊，用不用再分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x3672 with 33 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#每个数字特征得分布可视化\n",
    "f = pd.melt(data_train, value_vars=numerical_serial_fea)\n",
    "g = sns.FacetGrid(f, col=\"variable\",  col_wrap=2, sharex=False, sharey=False)\n",
    "g = g.map(sns.distplot, \"value\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Probability')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Ploting Transaction Amount Values Distribution\n",
    "plt.figure(figsize=(16,12))\n",
    "plt.suptitle('Transaction Values Distribution', fontsize=22)\n",
    "plt.subplot(221)\n",
    "sub_plot_1 = sns.distplot(data_train['loanAmnt'])\n",
    "sub_plot_1.set_title(\"loanAmnt Distribuition\", fontsize=18)\n",
    "sub_plot_1.set_xlabel(\"\")\n",
    "sub_plot_1.set_ylabel(\"Probability\", fontsize=15)\n",
    "\n",
    "plt.subplot(222)\n",
    "sub_plot_2 = sns.distplot(np.log(data_train['loanAmnt']))\n",
    "sub_plot_2.set_title(\"loanAmnt (Log) Distribuition\", fontsize=18)\n",
    "sub_plot_2.set_xlabel(\"\")\n",
    "sub_plot_2.set_ylabel(\"Probability\", fontsize=15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Probability')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,12))\n",
    "plt.suptitle('Transaction Values Distribution', fontsize=22)\n",
    "plt.subplot(221)\n",
    "sub_plot_1 = sns.distplot(data_train['interestRate'])\n",
    "sub_plot_1.set_title(\"interestRate Distribuition\", fontsize=18)\n",
    "sub_plot_1.set_xlabel(\"\")\n",
    "sub_plot_1.set_ylabel(\"Probability\", fontsize=15)\n",
    "\n",
    "plt.subplot(222)\n",
    "sub_plot_2 = sns.distplot(np.log(data_train['interestRate']))\n",
    "sub_plot_2.set_title(\"interestRate (Log) Distribuition\", fontsize=18)\n",
    "sub_plot_2.set_xlabel(\"\")\n",
    "sub_plot_2.set_ylabel(\"Probability\", fontsize=15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Probability')"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,12))\n",
    "plt.suptitle('Transaction Values Distribution', fontsize=22)\n",
    "plt.subplot(221)\n",
    "sub_plot_1 = sns.distplot(data_train['installment'])\n",
    "sub_plot_1.set_title(\"installment Distribuition\", fontsize=18)\n",
    "sub_plot_1.set_xlabel(\"\")\n",
    "sub_plot_1.set_ylabel(\"Probability\", fontsize=15)\n",
    "\n",
    "plt.subplot(222)\n",
    "sub_plot_2 = sns.distplot(np.log(data_train['installment']))\n",
    "sub_plot_2.set_title(\"installment (Log) Distribuition\", fontsize=18)\n",
    "sub_plot_2.set_xlabel(\"\")\n",
    "sub_plot_2.set_ylabel(\"Probability\", fontsize=15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['grade', 'subGrade', 'employmentLength', 'issueDate', 'earliesCreditLine']"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "category_fea"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "B    172511\n",
       "C    167594\n",
       "A    103182\n",
       "D     87819\n",
       "E     41079\n",
       "F     14013\n",
       "G      3993\n",
       "Name: grade, dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_train['grade'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "C1    37679\n",
       "B4    36606\n",
       "B3    35986\n",
       "B5    35983\n",
       "C2    34645\n",
       "C3    33162\n",
       "B2    32643\n",
       "C4    32560\n",
       "B1    31293\n",
       "C5    29548\n",
       "A5    28057\n",
       "A4    22821\n",
       "D1    22412\n",
       "D2    19525\n",
       "A1    19171\n",
       "D3    17293\n",
       "A3    16652\n",
       "A2    16481\n",
       "D4    15461\n",
       "D5    13128\n",
       "E1    10409\n",
       "E2     9304\n",
       "E3     8094\n",
       "E4     6849\n",
       "E5     6423\n",
       "F1     4349\n",
       "F2     3207\n",
       "F3     2650\n",
       "F4     2099\n",
       "F5     1708\n",
       "G1     1313\n",
       "G2      918\n",
       "G3      738\n",
       "G4      559\n",
       "G5      465\n",
       "Name: subGrade, dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_train['subGrade'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10+ years    193942\n",
       "2 years       53340\n",
       "< 1 year      47464\n",
       "3 years       47218\n",
       "1 year        38750\n",
       "5 years       36902\n",
       "4 years       35455\n",
       "6 years       27496\n",
       "8 years       26575\n",
       "7 years       26139\n",
       "9 years       22337\n",
       "Name: employmentLength, dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_train['employmentLength'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2016-03-01    21418\n",
       "2015-10-01    18801\n",
       "2015-07-01    17998\n",
       "2015-12-01    17099\n",
       "2014-10-01    15783\n",
       "2016-02-01    15174\n",
       "2015-11-01    14369\n",
       "2015-01-01    14095\n",
       "2015-04-01    14027\n",
       "2015-08-01    13852\n",
       "2015-05-01    12607\n",
       "2016-01-01    12417\n",
       "2014-07-01    12041\n",
       "2015-06-01    11288\n",
       "2015-09-01    11079\n",
       "2016-04-01    10653\n",
       "2014-11-01    10143\n",
       "2015-03-01    10000\n",
       "2016-08-01     9837\n",
       "2015-02-01     9464\n",
       "2016-07-01     9399\n",
       "2016-06-01     9001\n",
       "2016-12-01     8525\n",
       "2016-10-01     8300\n",
       "2016-11-01     8270\n",
       "2014-04-01     8027\n",
       "2014-05-01     8010\n",
       "2016-05-01     7994\n",
       "2014-08-01     7766\n",
       "2016-09-01     7567\n",
       "              ...  \n",
       "2009-12-01      254\n",
       "2009-10-01      234\n",
       "2009-09-01      201\n",
       "2009-08-01      171\n",
       "2009-07-01      157\n",
       "2009-06-01      145\n",
       "2009-05-01      141\n",
       "2009-04-01      129\n",
       "2009-03-01      117\n",
       "2009-02-01      116\n",
       "2009-01-01      107\n",
       "2008-12-01      104\n",
       "2008-03-01       96\n",
       "2008-11-01       83\n",
       "2008-02-01       81\n",
       "2008-01-01       63\n",
       "2008-04-01       62\n",
       "2008-10-01       45\n",
       "2007-12-01       42\n",
       "2008-07-01       38\n",
       "2008-05-01       30\n",
       "2008-08-01       28\n",
       "2008-06-01       23\n",
       "2007-10-01       19\n",
       "2007-11-01       19\n",
       "2008-09-01       16\n",
       "2007-07-01       14\n",
       "2007-08-01       12\n",
       "2007-09-01        7\n",
       "2015              1\n",
       "Name: issueDate, Length: 139, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_train['issueDate'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Aug-2001    4149\n",
       "Sep-2003    4011\n",
       "Aug-2002    3908\n",
       "Aug-2000    3871\n",
       "Oct-2001    3859\n",
       "Sep-2004    3846\n",
       "Sep-2002    3836\n",
       "Oct-2002    3740\n",
       "Aug-2003    3737\n",
       "Oct-2000    3707\n",
       "Oct-2003    3656\n",
       "Aug-2004    3591\n",
       "Nov-2000    3566\n",
       "Sep-2000    3549\n",
       "Nov-1999    3526\n",
       "Sep-2001    3462\n",
       "Oct-2004    3454\n",
       "Oct-1999    3450\n",
       "Sep-2005    3427\n",
       "Jul-2003    3418\n",
       "Aug-2005    3324\n",
       "Jul-2001    3290\n",
       "Aug-1999    3282\n",
       "Nov-2001    3276\n",
       "Sep-1999    3216\n",
       "Aug-2006    3193\n",
       "Dec-2001    3188\n",
       "Jul-2002    3179\n",
       "May-2001    3148\n",
       "Mar-2001    3147\n",
       "            ... \n",
       "Apr-1961       2\n",
       "Jan-1953       2\n",
       "Apr-1960       2\n",
       "Nov-1960       2\n",
       "May-1958       1\n",
       "May-1960       1\n",
       "Sep-1953       1\n",
       "Jan-1944       1\n",
       "Nov-1958       1\n",
       "Mar-1962       1\n",
       "Sep-1956       1\n",
       "Apr-1958       1\n",
       "Aug-1946       1\n",
       "Feb-1960       1\n",
       "Dec-1960       1\n",
       "Aug-1955       1\n",
       "Jul-1962       1\n",
       "Jul-1955       1\n",
       "Sep-1957       1\n",
       "Jun-1959       1\n",
       "Jun-1960       1\n",
       "Oct-1958       1\n",
       "Nov-1953       1\n",
       "Jan-1950       1\n",
       "Feb-1959       1\n",
       "Jun-1958       1\n",
       "Oct-2015       1\n",
       "Mar-1957       1\n",
       "Aug-1958       1\n",
       "Oct-1954       1\n",
       "Name: earliesCreditLine, Length: 710, dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_train['earliesCreditLine'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0    472443\n",
       "1.0    117747\n",
       "Name: isDefault, dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_train['isDefault'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 8))\n",
    "sns.barplot(data_train[\"employmentLength\"].value_counts(dropna=False)[:20],\n",
    "            data_train[\"employmentLength\"].value_counts(dropna=False).keys()[:20])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0    472443\n",
       "1.0    117747\n",
       "Name: isDefault, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_train['isDefault'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_loan_fr = data_train.loc[data_train['isDefault'] == 1]\n",
    "train_loan_nofr = data_train.loc[data_train['isDefault'] == 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, figsize=(15, 8))\n",
    "train_loan_fr.groupby('grade')['grade'].count().plot(kind='barh', ax=ax1, title='Count of grade fraud')\n",
    "train_loan_nofr.groupby('grade')['grade'].count().plot(kind='barh', ax=ax2, title='Count of grade non-fraud')\n",
    "train_loan_fr.groupby('employmentLength')['employmentLength'].count().plot(kind='barh', ax=ax3, title='Count of employmentLength fraud')\n",
    "train_loan_nofr.groupby('employmentLength')['employmentLength'].count().plot(kind='barh', ax=ax4, title='Count of employmentLength non-fraud')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Log Loan Amt - Not Fraud'}, ylabel='Frequency'>"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ((ax1, ax2)) = plt.subplots(1, 2, figsize=(15, 6))\n",
    "data_train.loc[data_train['isDefault'] == 1]['loanAmnt'].apply(np.log).plot(\n",
    "          kind='hist',\n",
    "          bins=100,\n",
    "          title='Log Loan Amt - Fraud',\n",
    "          color='r',\n",
    "          xlim=(-3, 10),\n",
    "         ax= ax1)\n",
    "data_train.loc[data_train['isDefault'] == 0]['loanAmnt'].apply(np.log).plot(\n",
    "          kind='hist',\n",
    "          bins=100,\n",
    "          title='Log Loan Amt - Not Fraud',\n",
    "          color='b',\n",
    "          xlim=(-3, 10),\n",
    "         ax=ax2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "total = len(data_train)\n",
    "total_amt = data_train.groupby(['isDefault'])['loanAmnt'].sum().sum()\n",
    "plt.figure(figsize=(12,5))\n",
    "plt.subplot(121)##1代表行，2代表列，所以一共有2个图，1代表此时绘制第一个图。\n",
    "plot_tr = sns.countplot(x='isDefault',data=data_train)#data_train‘isDefault’这个特征每种类别的数量**\n",
    "plot_tr.set_title(\"Fraud Loan Distribution \\n 0: good user | 1: bad user\", fontsize=14)\n",
    "plot_tr.set_xlabel(\"Is fraud by count\", fontsize=16)\n",
    "plot_tr.set_ylabel('Count', fontsize=16)\n",
    "for p in plot_tr.patches:\n",
    "    height = p.get_height()\n",
    "    plot_tr.text(p.get_x()+p.get_width()/2.,\n",
    "            height + 3,\n",
    "            '{:1.2f}%'.format(height/total*100),\n",
    "            ha=\"center\", fontsize=15) \n",
    "    \n",
    "percent_amt = (data_train.groupby(['isDefault'])['loanAmnt'].sum())\n",
    "percent_amt = percent_amt.reset_index()\n",
    "plt.subplot(122)\n",
    "plot_tr_2 = sns.barplot(x='isDefault', y='loanAmnt',  dodge=True, data=percent_amt)\n",
    "plot_tr_2.set_title(\"Total Amount in loanAmnt  \\n 0: good user | 1: bad user\", fontsize=14)\n",
    "plot_tr_2.set_xlabel(\"Is fraud by percent\", fontsize=16)\n",
    "plot_tr_2.set_ylabel('Total Loan Amount Scalar', fontsize=16)\n",
    "for p in plot_tr_2.patches:\n",
    "    height = p.get_height()\n",
    "    plot_tr_2.text(p.get_x()+p.get_width()/2.,\n",
    "            height + 3,\n",
    "            '{:1.2f}%'.format(height/total_amt * 100),\n",
    "            ha=\"center\", fontsize=15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#转化成时间格式  issueDateDT特征表示数据日期离数据集中日期最早的日期（2007-06-01）的天数\n",
    "data_train['issueDate'] = pd.to_datetime(data_train['issueDate'],format='%Y-%m-%d')\n",
    "startdate = datetime.datetime.strptime('2007-06-01', '%Y-%m-%d')\n",
    "data_train['issueDateDT'] = data_train['issueDate'].apply(lambda x: x-startdate).dt.days"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "#转化成时间格式\n",
    "data_test_a['issueDate'] = pd.to_datetime(data_train['issueDate'],format='%Y-%m-%d')\n",
    "startdate = datetime.datetime.strptime('2007-06-01', '%Y-%m-%d')\n",
    "data_test_a['issueDateDT'] = data_test_a['issueDate'].apply(lambda x: x-startdate).dt.days"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(data_train['issueDateDT'], label='train');\n",
    "plt.hist(data_test_a['issueDateDT'], label='test');\n",
    "plt.legend();\n",
    "plt.title('Distribution of issueDateDT dates');\n",
    "#train 和 test issueDateDT 日期有重叠 所以使用基于时间的分割进行验证是不明智的"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "#透视图 索引可以有多个，“columns（列）”是可选的，聚合函数aggfunc最后是被应用到了变量“values”中你所列举的项目上。\n",
    "pivot = pd.pivot_table(data_train, index=['grade'], columns=['issueDateDT'], values=['loanAmnt'], aggfunc=np.sum)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"21\" halign=\"left\">loanAmnt</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>issueDateDT</th>\n",
       "      <th>30</th>\n",
       "      <th>61</th>\n",
       "      <th>92</th>\n",
       "      <th>122</th>\n",
       "      <th>153</th>\n",
       "      <th>183</th>\n",
       "      <th>214</th>\n",
       "      <th>245</th>\n",
       "      <th>274</th>\n",
       "      <th>305</th>\n",
       "      <th>...</th>\n",
       "      <th>3926</th>\n",
       "      <th>3957</th>\n",
       "      <th>3987</th>\n",
       "      <th>4018</th>\n",
       "      <th>4048</th>\n",
       "      <th>4079</th>\n",
       "      <th>4110</th>\n",
       "      <th>4140</th>\n",
       "      <th>4171</th>\n",
       "      <th>4201</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>grade</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A</th>\n",
       "      <td>32500.0</td>\n",
       "      <td>19500.0</td>\n",
       "      <td>19500.0</td>\n",
       "      <td>14550.0</td>\n",
       "      <td>43950.0</td>\n",
       "      <td>35500.0</td>\n",
       "      <td>108625.0</td>\n",
       "      <td>67200.0</td>\n",
       "      <td>89025.0</td>\n",
       "      <td>44100.0</td>\n",
       "      <td>...</td>\n",
       "      <td>9344350.0</td>\n",
       "      <td>9014125.0</td>\n",
       "      <td>8943625.0</td>\n",
       "      <td>6678850.0</td>\n",
       "      <td>6330300.0</td>\n",
       "      <td>5265175.0</td>\n",
       "      <td>3520425.0</td>\n",
       "      <td>2954300.0</td>\n",
       "      <td>2106950.0</td>\n",
       "      <td>1726625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B</th>\n",
       "      <td>8000.0</td>\n",
       "      <td>14500.0</td>\n",
       "      <td>32125.0</td>\n",
       "      <td>7025.0</td>\n",
       "      <td>70750.0</td>\n",
       "      <td>130600.0</td>\n",
       "      <td>122525.0</td>\n",
       "      <td>351275.0</td>\n",
       "      <td>376050.0</td>\n",
       "      <td>232900.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11938175.0</td>\n",
       "      <td>12634550.0</td>\n",
       "      <td>11903450.0</td>\n",
       "      <td>8459300.0</td>\n",
       "      <td>6451475.0</td>\n",
       "      <td>5652550.0</td>\n",
       "      <td>3431325.0</td>\n",
       "      <td>3098325.0</td>\n",
       "      <td>3056900.0</td>\n",
       "      <td>2357975.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C</th>\n",
       "      <td>31500.0</td>\n",
       "      <td>3175.0</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>57000.0</td>\n",
       "      <td>38750.0</td>\n",
       "      <td>151375.0</td>\n",
       "      <td>148600.0</td>\n",
       "      <td>223725.0</td>\n",
       "      <td>305200.0</td>\n",
       "      <td>170100.0</td>\n",
       "      <td>...</td>\n",
       "      <td>13111375.0</td>\n",
       "      <td>12817350.0</td>\n",
       "      <td>11828375.0</td>\n",
       "      <td>8314975.0</td>\n",
       "      <td>7826950.0</td>\n",
       "      <td>5927525.0</td>\n",
       "      <td>3830375.0</td>\n",
       "      <td>3333275.0</td>\n",
       "      <td>1965350.0</td>\n",
       "      <td>1702200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D</th>\n",
       "      <td>NaN</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>2850.0</td>\n",
       "      <td>12525.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>124975.0</td>\n",
       "      <td>98325.0</td>\n",
       "      <td>123350.0</td>\n",
       "      <td>197325.0</td>\n",
       "      <td>88100.0</td>\n",
       "      <td>...</td>\n",
       "      <td>8174825.0</td>\n",
       "      <td>7677050.0</td>\n",
       "      <td>7663775.0</td>\n",
       "      <td>5159850.0</td>\n",
       "      <td>5196750.0</td>\n",
       "      <td>3715250.0</td>\n",
       "      <td>2441300.0</td>\n",
       "      <td>2400975.0</td>\n",
       "      <td>1615350.0</td>\n",
       "      <td>1323600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>E</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17975.0</td>\n",
       "      <td>1500.0</td>\n",
       "      <td>74375.0</td>\n",
       "      <td>60450.0</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>119775.0</td>\n",
       "      <td>43575.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2760700.0</td>\n",
       "      <td>2502725.0</td>\n",
       "      <td>2275500.0</td>\n",
       "      <td>1752250.0</td>\n",
       "      <td>1690400.0</td>\n",
       "      <td>1214825.0</td>\n",
       "      <td>640775.0</td>\n",
       "      <td>903800.0</td>\n",
       "      <td>695600.0</td>\n",
       "      <td>619475.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>F</th>\n",
       "      <td>NaN</td>\n",
       "      <td>31250.0</td>\n",
       "      <td>2125.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>49000.0</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>43000.0</td>\n",
       "      <td>20000.0</td>\n",
       "      <td>...</td>\n",
       "      <td>645775.0</td>\n",
       "      <td>549075.0</td>\n",
       "      <td>447075.0</td>\n",
       "      <td>630325.0</td>\n",
       "      <td>513750.0</td>\n",
       "      <td>559800.0</td>\n",
       "      <td>214500.0</td>\n",
       "      <td>247075.0</td>\n",
       "      <td>60500.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24625.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>56100.0</td>\n",
       "      <td>173275.0</td>\n",
       "      <td>142125.0</td>\n",
       "      <td>64050.0</td>\n",
       "      <td>150425.0</td>\n",
       "      <td>162575.0</td>\n",
       "      <td>53125.0</td>\n",
       "      <td>23750.0</td>\n",
       "      <td>25100.0</td>\n",
       "      <td>1000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7 rows × 138 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            loanAmnt                                                          \\\n",
       "issueDateDT     30       61       92       122      153       183       214    \n",
       "grade                                                                          \n",
       "A            32500.0  19500.0  19500.0  14550.0  43950.0   35500.0  108625.0   \n",
       "B             8000.0  14500.0  32125.0   7025.0  70750.0  130600.0  122525.0   \n",
       "C            31500.0   3175.0  10000.0  57000.0  38750.0  151375.0  148600.0   \n",
       "D                NaN   3000.0   2850.0  12525.0      NaN  124975.0   98325.0   \n",
       "E                NaN      NaN      NaN  17975.0   1500.0   74375.0   60450.0   \n",
       "F                NaN  31250.0   2125.0      NaN      NaN       NaN   49000.0   \n",
       "G                NaN      NaN      NaN      NaN      NaN       NaN   24625.0   \n",
       "\n",
       "                                             ...                              \\\n",
       "issueDateDT      245       274       305     ...            3926        3957   \n",
       "grade                                        ...                               \n",
       "A             67200.0   89025.0   44100.0    ...       9344350.0   9014125.0   \n",
       "B            351275.0  376050.0  232900.0    ...      11938175.0  12634550.0   \n",
       "C            223725.0  305200.0  170100.0    ...      13111375.0  12817350.0   \n",
       "D            123350.0  197325.0   88100.0    ...       8174825.0   7677050.0   \n",
       "E             15000.0  119775.0   43575.0    ...       2760700.0   2502725.0   \n",
       "F             15000.0   43000.0   20000.0    ...        645775.0    549075.0   \n",
       "G                 NaN       NaN       NaN    ...         56100.0    173275.0   \n",
       "\n",
       "                                                                     \\\n",
       "issueDateDT        3987       4018       4048       4079       4110   \n",
       "grade                                                                 \n",
       "A             8943625.0  6678850.0  6330300.0  5265175.0  3520425.0   \n",
       "B            11903450.0  8459300.0  6451475.0  5652550.0  3431325.0   \n",
       "C            11828375.0  8314975.0  7826950.0  5927525.0  3830375.0   \n",
       "D             7663775.0  5159850.0  5196750.0  3715250.0  2441300.0   \n",
       "E             2275500.0  1752250.0  1690400.0  1214825.0   640775.0   \n",
       "F              447075.0   630325.0   513750.0   559800.0   214500.0   \n",
       "G              142125.0    64050.0   150425.0   162575.0    53125.0   \n",
       "\n",
       "                                              \n",
       "issueDateDT       4140       4171       4201  \n",
       "grade                                         \n",
       "A            2954300.0  2106950.0  1726625.0  \n",
       "B            3098325.0  3056900.0  2357975.0  \n",
       "C            3333275.0  1965350.0  1702200.0  \n",
       "D            2400975.0  1615350.0  1323600.0  \n",
       "E             903800.0   695600.0   619475.0  \n",
       "F             247075.0    60500.0        NaN  \n",
       "G              23750.0    25100.0     1000.0  \n",
       "\n",
       "[7 rows x 138 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pivot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas_profiling\n",
    "pfr = pandas_profiling.ProfileReport(data_train)\n",
    "pfr.to_file(\"./example.html\")"
   ]
  }
 ],
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